Beste model kiezen en uitleggen (leg uit wat het beste model is, wat het doet en waarom het het beste is) - August
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Binary dependent variable
Diabetes (coded 1)
Not diabetes (coded 0)
Sufficiently large sample size
10 cases per candidate predictor : \(N=\frac{10k}{p}\)
Age Glucose BMI
1.022157 1.018869 1.009314
DiabetesPedigreeFunction
1.006276
VIF=1 : no correlation
Continuous predictors are linearly related to the \(logit(\pi)\)
Continuous predictors : Age, Glucose and DiabetesPedigreeFunction
Continuous predictors are linearly related to the \(logit(\pi)\)
Continuous predictors : Age, Glucose and DiabetesPedigreeFunction
Continuous predictors are linearly related to the \(logit(\pi)\)
Continuous predictors : Age, Glucose and DiabetesPedigreeFunction
No influential values or outliers
No values outside Cook’s distance
No influential observations
Deviance Residuals?
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Exploring the model section, ga in op het model met onderzoeksmethode uit slides INCLUDING CONFUSION MATRIX - Demi
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Concludeer en beantwoord - Demi
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